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Polarization
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fun <- function(df, var1, var2, weight, yr) { | |
aaa1 <- df %>% | |
filter({{var1}} <= 7) %>% | |
cces_trad(religpew) %>% | |
group_by(trad2) %>% | |
rename(id := {{var1}}) %>% | |
ct(id, wt = {{weight}}) %>% | |
mutate(year = yr) %>% | |
mutate(group = "Democrats") | |
aaa2 <- df %>% | |
filter({{var2}} <= 7) %>% | |
cces_trad(religpew) %>% | |
group_by(trad2) %>% | |
rename(id := {{var2}}) %>% | |
ct(id, wt = {{weight}}) %>% | |
mutate(year = yr) %>% | |
mutate(group = "Republicans") | |
bind_rows(aaa1, aaa2) | |
} | |
yyy1 <- cces12 %>% fun(CC334E, CC334F, weight_vv, yr = 2012) | |
yyy2 <- cces14 %>% fun(CC334K, CC334L, weight, yr = 2014) | |
yyy3 <- cces16 %>% fun(CC16_340g, CC16_340h, commonweight, yr = 2016) | |
yyy4 <- cces17 %>% fun(CC17_350d, CC17_350e, weights_common, yr = 2017) | |
yyy5 <- cces18 %>% fun(CC18_334D, CC18_334E, commonweight, yr = 2018) | |
yyy6 <- cces19 %>% fun(CC19_334d, CC19_334e, commonweight, yr = 2019) | |
graph <- bind_df("yyy") | |
gg1 <- graph %>% | |
filter(id == 1 & group == "Democrats") %>% | |
mutate(type = "Very Liberal Democrats") %>% | |
select(trad2, pct, year, type) | |
gg2 <- graph %>% | |
filter(id == 7 & group == "Republicans") %>% | |
mutate(type = "Very Conservative Republicans") %>% | |
select(trad2, pct, year, type) | |
graph <- bind_rows(gg1, gg2) | |
graph %>% | |
ggplot(., aes(x = year, y = pct, color = type, group = type)) + | |
geom_point(size=3, color="white") + | |
geom_point(size=2, shape=1) + | |
geom_point(size=1, shape=19) + | |
geom_line() + | |
facet_wrap(~ trad2) + | |
theme_rb(legend = TRUE) + | |
scale_color_manual(values = c("firebrick3", "dodgerblue3")) + | |
y_pct() + | |
labs(x = "", y = "", title = "How Would You Describe the Ideology of Democrats and Republicans?", caption = "@ryanburge\nData: CCES 2012-2019") + | |
ggsave("E://parties_extreme.png", type = "cairo-png", height = 10) | |
fun <- function(df, var1, var2, weight, yr) { | |
aaa1 <- df %>% | |
filter({{var1}} <= 7) %>% | |
filter({{var2}} <= 7) %>% | |
cces_trad(religpew) %>% | |
rename(dem := {{var1}}) %>% | |
rename(rep := {{var2}}) %>% | |
rename(wt := {{weight}}) %>% | |
select(trad2, dem, rep, wt) %>% | |
mutate(year = yr) | |
} | |
yyy1 <- cces12 %>% fun(CC334E, CC334F, weight_vv, yr = 2012) | |
yyy2 <- cces14 %>% fun(CC334K, CC334L, weight, yr = 2014) | |
yyy3 <- cces16 %>% fun(CC16_340g, CC16_340h, commonweight, yr = 2016) | |
yyy4 <- cces17 %>% fun(CC17_350d, CC17_350e, weights_common, yr = 2017) | |
yyy5 <- cces18 %>% fun(CC18_334D, CC18_334E, commonweight, yr = 2018) | |
yyy6 <- cces19 %>% fun(CC19_334d, CC19_334e, commonweight, yr = 2019) | |
gg <- bind_df("yyy") | |
gg <- gg %>% | |
mutate(ex = frcode(rep == 7 & dem == 1 ~ "Both", | |
rep == 7 ~ "Republicans", | |
dem == 1 ~ "Democrats", | |
TRUE ~ "Neither")) %>% | |
as_tibble() | |
graph <- gg %>% | |
group_by(year, trad2) %>% | |
ct(ex, wt = wt, show_na = FALSE) | |
graph %>% | |
mutate(pct = round(pct,2)) %>% | |
ggplot(., aes(x = factor(year), y = pct, fill= ex)) + | |
geom_col(color = "black") + | |
facet_wrap(~ trad2) + | |
scale_fill_manual(values = c("darkorchid", "firebrick3", "dodgerblue", "azure3")) + | |
theme_rb(legend = TRUE) + | |
y_pct() + | |
labs(x = "", y = "", title = "Share Seeing Each Political Party as the Most Extreme", | |
subtitle = "Very Conservative for Republicans/Very Liberal for Democrats", | |
caption = "@ryanburge\nData: CCES 2012-2019") + | |
geom_text(aes(label = ifelse(pct >.10, paste0(pct*100, '%'), '')), position = position_stack(vjust = 0.5), size = 4, family = "font", color = "black") + | |
ggsave("E://polarized_views.png", type = "cairo-png", height = 8, width = 10) | |
fun19 <- function(df, var1, var2, var3, weight, yr) { | |
aaa1 <- df %>% | |
filter({{var1}} <= 7) %>% | |
filter({{var2}} <= 7) %>% | |
filter({{var3}} <= 7) %>% | |
cces_trad(religpew) %>% | |
rename(dem := {{var1}}) %>% | |
rename(rep := {{var2}}) %>% | |
rename(self := {{var3}}) %>% | |
rename(wt := {{weight}}) %>% | |
mutate(age = 2019 - birthyr) %>% | |
select(trad2, dem, rep, self, wt, educ, faminc_new, newsint, age, gender, pew_churatd, race) %>% | |
mutate(year = yr) | |
} | |
ttt16 <- cces19 %>% fun19(CC19_334d, CC19_334e, CC19_334a, commonweight, yr = 2019) | |
ttt16 <- ttt16 %>% | |
mutate(ex = frcode(rep == 7 & dem == 1 ~ "Both", | |
rep == 7 ~ "Republicans", | |
dem == 1 ~ "Democrats", | |
TRUE ~ "Neither")) %>% | |
as_tibble() %>% | |
mutate(self = frcode(self == 1 ~ "Very\nLiberal", | |
self == 2 ~ "Liberal", | |
self == 3 ~ "Somewhat\nLiberal", | |
self == 4 ~ "Middle of\nthe Road", | |
self == 5 ~ "Somewhat\nConservative", | |
self == 6 ~ "Conservative", | |
self == 7 ~ "Very\nConservative")) | |
gg <- ttt16 %>% | |
group_by(self) %>% | |
ct(ex, wt = wt, show_na = FALSE) | |
gg %>% | |
mutate(pct = round(pct,2)) %>% | |
ggplot(., aes(x = self, y = pct, fill= ex)) + | |
geom_col(color = "black") + | |
scale_fill_manual(values = c("darkorchid", "firebrick3", "dodgerblue", "azure3")) + | |
theme_rb(legend = TRUE) + | |
y_pct() + | |
labs(x = "Respondent's Personal Ideology", y = "", title = "Share Seeing Each Political Party as the Most Extreme", | |
subtitle = "Very Conservative for Republicans/Very Liberal for Democrats", | |
caption = "@ryanburge\nData: CCES 2019") + | |
geom_text(aes(label = ifelse(pct >.05, paste0(pct*100, '%'), '')), position = position_stack(vjust = 0.5), size = 6, family = "font", color = "black") + | |
ggsave("E://polarized_views_2019.png", type = "cairo-png", height = 7, width = 7) | |
ttt16 <- ttt16 %>% | |
filter(faminc_new <= 20) %>% | |
mutate(ex = frcode(rep == 7 & dem == 1 ~ "Both", | |
rep == 7 ~ "Republicans", | |
dem == 1 ~ "Democrats", | |
TRUE ~ "Neither")) %>% | |
mutate(ex = case_when(ex == "Neither" ~ 0, | |
TRUE ~ 1)) %>% | |
mutate(male = case_when(gender == 1 ~ 1, gender == 2 ~ 0)) %>% | |
mutate(att = car::recode(pew_churatd, "6=1; 5=2; 4=3; 3=4; 2=5; 1=6; else = NA")) %>% | |
mutate(news = case_when(newsint == 4 ~ 1, | |
newsint == 3 ~ 2, | |
newsint == 2 ~ 3, | |
newsint == 1 ~ 4)) %>% | |
mutate(pid3 = frcode(self == 1 | self == 2 | self == 3 ~ "Liberal", | |
self == 4 ~ "Moderate", | |
self == 5 | self == 6 | self == 7 ~ "Conservative")) %>% | |
mutate(rac2 = frcode(race == 1 ~ "White", TRUE ~ "Non-White")) | |
reg1 <- glm(ex ~ pid3*att*rac2 + male + age + faminc_new + educ + news, family = "binomial", data = ttt16 ) | |
int <- interact_plot(reg1, pred= att, modx = pid3, mod2 = rac2, int.width = .76, interval = TRUE, mod2.labels = c("White", "Non-White")) | |
int + | |
theme_rb(legend = TRUE) + | |
pid3_color() + | |
pid3_fill() + | |
y_pct() + | |
scale_x_continuous(breaks = c(1,2,3,4,5,6), labels = c("Never", "Seldom", "Yearly", "Monthly", "Weekly", "Weekly+")) + | |
labs(x = "Church Attendance", y = "Estimated Likelihood of Seeing\nAt Least One Party as Extreme", | |
title = "Church Attendance Does Little to Reduce Polarized Views among Conservatives", | |
caption = "@ryanburge\nData: CCES 2019") + | |
ggsave("E://interact_extreme_views.png", type = "cairo-png") | |
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